Online stator and rotor resistance estimation scheme using swarm intelligence for induction motor drive in EV/HEV
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The usage of niche copper-rotor induction motor (CRIM) in the Tesla Roadster electric vehicle has bolstered the technology of using copper-rotor induction motor for electrified transportation. Understanding the merits, demerits and state of art technology of induction motor and its drive in EV/HEV application, this research manuscript proposes an online stator and rotor resistance estimation scheme using particle swarm optimization (PSO) technique for efficient and accurate control of induction motors in the same application. Firstly, an insight is provided on the state or art CRIM technology in EV/HEV and the need for reliable online rotor and stator resistance estimation scheme. Secondly, a PSO based scheme for resistance estimation is developed through a mathematical model. The developed model is validated and tested on a 10hp CRIM thorough a computer programme. Thereafter, the calculated results obtained from numerical investigations are analyzed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it